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Oct 12 · Monday

All papers

Found 3 papers
Filter4

Defense type

Detection and filtering1Instruction–data separation2Permissions and approval1

Attack surface / entry point

User input58Web pages and interfaces29Documents and messages24Tool responses46Tool and skill descriptions23Code repositories and dependencies6Retrieval corpus10Memory writes9Inter-agent messages8Images, audio and video15Training data7Weights and gradients3Distribution channels15Inference services and hardware3

Layer

Infrastructure layer3
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Defense type：Detection and filteringDefense type：Instruction–data separationDefense type：Permissions and approvalAttack surface / entry point：Inference services and hardwareClear all

Another 265papers do not have category tags yet and are not included in filtered results.

  3. DefensesarXiv 2608.25431

    GIFT：通过 GPU 信息流追踪在 LLM 服务中实现用户数据隔离

    提出 GIFT，用加密与 GPU 信息流跟踪隔离共享 LLM 服务中的用户数据

    arXiv
    2608.25431
    Published
    Layer
    Infrastructure layer
    Setting
    Models and APIs
    Evaluated models
    Qwen2.5-14B, Qwen2.5-32B, Qwen2.5-72B and others6
    AbstractGIFT 以加密隔离加 GPU 信息流规则，在 vLLM 与 DistServe 上强制用户数据隔离，并报告了吞吐开销。

    GIFT 是作者为共享 LLM serving 做的用户数据隔离系统，并有启用机密计算的 GIFT-CC。作者在结论中称它是该场景的首个 IFT 设计。

    Paper analysisRead analysis
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